Literacy: Choosing the Best Null Model

  • Katharina A. ZweigEmail author
Part of the Lecture Notes in Social Networks book series (LNSN)


The last chapter has shown that “smallness” of a network is eventually a rather unsurprising feature that can be generated by very different network generating mechanisms—actually, smallness is hard to avoid. In that light, “largeness” as a much more surprising feature can be expected to be either functional or caused by constraints that are important to understand the evolution of a given network. This argument emphasizes that it is important to look for surprising structural features. This, however, requires to choose an appropriate null-model which is discussed in this chapter.


Bipartite Graph Random Graph Degree Distribution Cluster Coefficient Multiple Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Austria 2016

Authors and Affiliations

  1. 1.TU Kaiserslautern, FB Computer ScienceGraph Theory and Analysis of Complex NetworksKaiserslauternGermany

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